metadata

license: other
license_name: bespoke-lora-trained-license
license_link: >-
  https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Image&allowDerivatives=True&allowDifferentLicense=True
tags:
  - text-to-image
  - stable-diffusion
  - lora
  - diffusers
  - template:sd-lora
  - migrated
  - woman
  - 90s
  - actress
  - celebrity
  - tv series
  - movies
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: amidolenz
widget:
  - text: ' '
    output:
      url: 52880989.jpeg
  - text: ' '
    output:
      url: 52880986.jpeg
  - text: ' '
    output:
      url: 52880990.jpeg
  - text: ' '
    output:
      url: 52880985.jpeg
  - text: ' '
    output:
      url: 52881000.jpeg
  - text: ' '
    output:
      url: 52880987.jpeg
  - text: ' '
    output:
      url: 52880994.jpeg
  - text: ' '
    output:
      url: 52880988.jpeg
  - text: ' '
    output:
      url: 52880993.jpeg
  - text: ' '
    output:
      url: 52880992.jpeg
  - text: ' '
    output:
      url: 52880998.jpeg
  - text: ' '
    output:
      url: 52880991.jpeg
  - text: ' '
    output:
      url: 52880996.jpeg
  - text: ' '
    output:
      url: 52880995.jpeg
  - text: ' '
    output:
      url: 52880999.jpeg
  - text: ' '
    output:
      url: 52880997.jpeg
  - text: ' '
    output:
      url: 52881001.jpeg
  - text: ' '
    output:
      url: 52881002.jpeg
  - text: ' '
    output:
      url: 52881003.jpeg

Ami Dolenz Flux D , "Cant buy Me love"

(CivitAI)

Model description

Generates Photos of Ami Dolenz with Flux models , She is From "Saved by the bell" "Cant buy me love" others...

Trigger words

You should use amidolenz to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

Use it with the 🧨 diffusers library

from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/ami-dolenz-flux-d-cant-buy-me-love', weight_name='am1d0lenz.safetensors')
image = pipeline('`amidolenz`').images[0]

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers